Java , with hands-on experience building backend services and enterprise integrations
Ability to work across both Python and Java codebases, integrating AI/ML components into Java-based enterprise systems
Software Engineer (AI/GenAI Platforms) - at Allstate
Proven experience building and operating production-grade AI/ML systems
Strong understanding of data pipelines and distributed data processing
AI / GenAI Expertise
Hands-on experience in one or more of the following areas:
Large Language Models (LLMs): Working with foundation models and fine-tuning
Retrieval Augmented Generation (RAG): Building context-aware AI applications
Vector Search & Embeddings: Semantic search and similarity matching
Multimodal AI: Processing text, voice, images, and video
AI Agents / Agent Frameworks: Building autonomous AI workflows
Prompt Engineering: LLM orchestration and optimization
Semantic Models: Building and leveraging semantic data models
Framework Experience
LangChain, LlamaIndex, Semantic Kernel
Hugging Face
OpenAI, AWS Bedrock, Azure OpenAI
Data & Platform Technologies
Experience working in large-scale enterprise data environments, including:
Architecture
Data lakes and lakehouse architectures
Analytics
Microsoft Fabric, Azure Fabric, or similar analytics platforms
Streaming
Kafka and event-driven architectures
Cloud Services
Amazon Web Services (AWS)
Datastores
MongoDB Atlas
Amazon DocumentDB
Vector databases (nice to have)
ML / AI Platforms
Amazon SageMaker or similar ML platforms
AWS Bedrock for foundation model access and deployment
Model training, evaluation, and deployment
Experience with MLOps workflows
Observability & Reliability
Monitoring and troubleshooting AI and data pipelines
Experience with observability tools such as Datadog and AWS CloudWatch
Why Join Us?
Work on petabyte-scale unstructured data challenges
Build with the latest GenAI and Agentic AI technologies
Transform unstructured data into enterprise intelligence
Join a team shaping the future of AI-powered decision making
#LI-JK1
Amazon SageMaker, Amazon Web Services (AWS), Apache Kafka, Communication, Continuous Integration Software, Data Analysis, Large Language Model (LLM) Fine-Tuning, Machine Learning (ML), Python (Programming Language), Semantics, Software Development, Vector Databases
Benefits
Compensation offered for this role is 85,000.00 - 145,075.00 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.Allstate generally does not sponsor individuals for employment-based visas for this position.For jobs in San Francisco, please click ' here ' for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click ' here ' for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.To view the 'EEO Know Your Rights' poster click ' here '. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract C
Additional Information
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Our Mission
We are on a mission to unlock business value from petabyte-scale unstructured enterprise data by building cutting-edge AI, GenAI, and Agentic AI capabilities on top of our Unstructured Data Platform.
In this role, you'll help transform massive volumes of documents, voice recordings, images, and video into actionable intelligence, powerful insights, and autonomous AI systems that drive real business decisions.
You will design and build AI-driven systems that combine large-scale data engineering, machine learning, and generative AI to power next-generation enterprise capabilities.